Fault-tolerant Q-learning for discrete-time linear systems with actuator and sensor faults using input-output measured data

Fault-tolerant Q-learning for discrete-time linear systems with actuator and sensor faults using input-output measured data

This study presents a novel output feedback Q-learning algorithm specifically designed for fault-tolerant control in real-time applications, circumventing the necessity for explicit system models or detailed actuator and sensor fault information. A significant benefit of this algorithm is its capabi...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammadrasoul Kankashvar, Sajad Rafiee, Hossein Bolandi
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Franklin Open
Subjects:
Reinforcement learning
Fault-tolerant control
Actuator faults
Sensor faults
Output feedback
Q-learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325000490
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items